Parallel Particle Swarm Optimization Algorithm of Inverse Heat Conduction Problem

摘要：

Inverse heat conduction problem can be found in many engineering fields, and has the characteristics of nonlinearity, ill-posedness and massive-computation. In this paper, a parallel Particle Swarm Optimization (PSO) algorithm is proposed to solve inverse heat conduction problem, after choosing parameters determining condition. The numeric results show that the algorithm has high accuracy and can be used in practice.

关键词： inverse problem PSO parallel MPI

作者: Jingjing Qi Qingping Guo Jiansheng Lin Ming Zho Shesheng Zhang

作者单位: School of Computer Science and Technology Wuhan University of Technology Wuhan 430063 China Department of Statistics Wuhan University of Technology Wuhan 430070 China

会议类型: 国际会议

会议名称: 第九届分布式计算及其应用国际学术研讨会

会议地点: 香港

会议语种:英文

页码: 5-9

在线出版日期: 2010-08-12（万方平台首次上网日期，不代表论文的发表时间）